dbt, every mention
18 scenes (2022), the whole family · ← back to dbt
tap a year for its mentions
every year 2022 anyone Matt Turck 37Tristan Handy 27George Fraser 5Nick Schrock 4DeVaris Brown 4Julien Le Dem 3Jordan Tigani 3Jeremiah Lowin 3Tomasz Tunguz 2Gleb Mezhanskiy 2
Verbatim, from the transcripts: the passages where dbt comes up
Fundamentals of Data Engineering | Joe Reis and Matt Housley
- ▶ 31:17 Matt Housley They would define data engineering to be a very specific technology stack, and so in 2022, you could do this by saying, well, data engineering is really about ingesting data with, I don't know, five-trainer or stitch, and then it's about…
Behavioral Data Creation for AI | Snowplow Co-Founder & CEO Alex Dean
Separating Data Hype From Substance | Fireside Chat with Mode Co-Founder Benn Stancil
- ▶ 22:22 Matt Turck Uh, but can you, the post on dbt has not come out. 10 times in the scene
- ▶ 38:24 Benn Stancil the data modeling layers people want to use, like, dbt, uh, if they're wanting to use some of the newer stuff, like, transform, for instance, that they've
- ▶ 39:08 unnamed speaker So you were giving like DBT and five trans examples. 4 times in the scene
Modern Data Orchestration | Astronomer Co-Founders Pete DeJoy & Viraj Parekh
- ▶ 2:10 Viraj Parekh Uh, DBT will usually be some data modeling layer.
A Novel Approach to Data Quality for the Modern Data Stack | Datafold’s Gleb Mezhanskiy
- ▶ 3:55 Gleb Mezhanskiy If you're familiar with modern data stack, DBT Airflow, the general ecosystem, 2 times in the scene
The Next Layer of the Modern Data Stack | dbt's Tristan Handy
- ▶ 2:08 Tristan Handy I think that there, there are, for anybody in the audience who's used dbt, you've probably gotten the sense that, ah, it's a, it's a little bit of a different product experience than most data products you've, you've used before.
- ▶ 10:26 Matt Turck And obviously a lot of the excitement around dbt from, you know, market and investment respective has been that dbt labs, the company and dbt core, I guess the project has, has, has owned this transformation layer. 2 times in the scene
- ▶ 10:26 Matt Turck And obviously a lot of the excitement around dbt from, you know, market and investment respective has been that dbt labs, the company and dbt core, I guess the project has, has, has owned this transformation layer.
- ▶ 10:40 Matt Turck Do you want to explain what dbt actually is and what it does? 6 times in the scene
- ▶ 13:40 Tristan Handy And so dbt is an attempt to start like moving us like up this abstraction level. 2 times in the scene
- ▶ 15:55 Matt Turck And, um, so dbt for a long time was, still is, but was originally a, a very popular open source project that you built. 2 times in the scene
- ▶ 16:22 Matt Turck Uh, and there is now a product called dbt cloud, which is the, I guess, commercialization effort around dbt. 4 times in the scene
- ▶ 16:34 Tristan Handy The original thing that dbt core did was it provided a language to express data transformations, and it provided a, a command line interface to actually execute them. 4 times in the scene
- ▶ 19:39 Tristan Handy And so, there's this desire to push that upstream to dbt. 6 times in the scene
- ▶ 22:21 Tristan Handy So the, one of the things that most of the practitioner space in, in the dbt community doesn't actually understand is that the dbt cloud API is now powering like dozens and dozens of partner applications, because it turns out this…
- ▶ 23:58 Tristan Handy I get the impression that, that dbt is pushing the idea of, of SQL first when you think about how you write your data transformations, which, which feels at odds with trying to build abstraction layers on top of SQL, because with dbt,… 2 times in the scene